前言
第1章  绪论  Introduction
  1.1  多元统计学概况  Overview of Multivariate Statistics
  1.2  多元统计方法分类与选择  Classification and Selection of Multivariate Analysis
  1.3  多元数据描述Description of Multivariate Data
  1.4  专题统计概述Outlines of Specific Statistical Methods
  思考练习  Exercises
  延伸阅读  Further Readings
第2章  多变量方差分析  Multivariate Analysis of Variance
  2.1  多变量方差分析概况  Overview of Multivariate Analysis of Variance
  2.2  单样本多变量方差分析  One Sample Multivariate Analysis of Variance
  2.3  单因素多变量方差分析  One-way Multivariate Analysis of Variance
  2.4  多因素多变量方差分析  Multi-factor Multivariate Analysis of Variance
  2.5  含协变量的多变量方差分析  Multivariate Analysis of Variance with Covariates
  2.6  实例分析  Examples Analysis
  思考练习  Exercises
  延伸阅读  Further Readings
第3章  多重线性回归分析进阶  Advanced Multiple Linear Regression Analysis
  3.1  多重线性回归回顾  Review of Multiple Linear Regression
  3.2  加权最小二乘法——方差不齐的处理  Weighted Least Squares—Treatment forHeterogeneity of Variance
  3.3  岭回归——共线性的处理  Ridge eatment for Collinearity
  3.4  最优尺度回归——分类变量的数值化  Optimal Scaling antifying Category Variables
  3.5  两阶段最小二乘回归——因果模型构建  Two—stage Least Squares Regression—Construction of Causal Model
  3.6  实例分析  Examples Analysis
  思考练习  Exercises
  延伸阅读  Further Readings
第4章  Logistic回归分析进阶  Advanced Logistic Regression
  4.1  Logistic回归回顾  Logistic Regression Review
  4.2  Logistic回归诊断  Logistic Regression Diagnosis
  4.3  无序多分类Logistic回归  Muhinomial Logistic Regression
  4.4  有序多分类Logistic回归  Ordinal Logistic Regression
  4.5  条件Logistic回归  Conditional Logistic Regression
  4.6  实例分析  Examples Analysis
  思考练习  Exercises
  延伸阅读  Further Readings
第5章  主成份分析与因子分析  Principal Component Analysis and Factor Analys
  5.1  主成份分析Principal Component Analysis
  5.2  因子分析  Factor Analysis
  5.3  主成份分析与因子分析的关系  The Relationship betwcen Principal ComponcntAnalysis and Factor Analysis
  5.4  实例分析  Examples Analysis
  思考练习  Exercises
  延伸阅读  Further Rcadings
第6章  聚类分析  Cluster Analysis
  6.1  聚类分析概况  Overview of Clustcr Analysis
  6.2  系统聚类法  Hierarchical C1ustcring Mcthod
  6.3  快速聚类法  Faster C1ustcring
  6.4  其他聚类方法  Other C1ustcring Mcthods
  6.5  聚类方法的选择  Sections of C1ustering Mcthods
  6.6  聚类分析注意事项  Some Notcs of Cluster Analysis
  6.7  实例分析  Examples Analysis
  思考练习  Exercises
  延伸阅读  Further Readings
第7章  判别分析  Discriminant Analysis
  7.1  判别分析概况  OvervicW of DiSCriminant Analysis
  7.2  距离判别分析Distance Discriminant Analysis
  7.3  Fisher判别分析  Fisher Discriminant Analysis
  7.4  Bayes少0另0分析  Bayes DiSCriminant Analysis
  7.5  分类资料判别分析（Bayes公式法）  Discriminant Analysis for Qualitativc Data（Bayes Formula Method）
  7.6  逐步判别分析  Stepwise Discriminant Analysis
  7.7  聚类分析与判别分析的关系  The RelationshiD betWccn Clustcr Analysis andDiscriminant Analysis
  7.8  实例分析  Examples Analysis
  思考练习  Exercises
  延伸阅读  Further Readings
第8章  典型相关分析  Canonical Correlation Analysis
  8.1  典型相关分析概况  Overview of Canonical Con-elation Analysis
  8.2  典型相关分析的统计思想  Statistical ideology of Canonical Correlation Analvsis
  8.3  典型相关分析的基本理论及模型假定The Basics and Model Assumption of Canonical Correlation Analysis
  8.4  典型相关分析的基本步骤Basic Steps in Canonical Correlation Analysis
  8.5  典型变量的性质及其意义解释The Nature and Meaning of Canonical Variables
  8.6  实例分析Examples Analysis
  思考练习Exercises
  延伸阅读Further Readings
第9章  对应分析Correspondence Analysis
  9.1  概念与计算The Concept and Calculation
  9.2  对应分析中的假设检验问题Hypothesis Testing Problems in Correspondence Analysis
  9.3  多重对应分析Multiple Correspondence Analysis
  9.4  对应分析用于定量变量的情况Correspondence Analysis for Quantitative Variables
  9.5  需要注意的问题Some Notes on Correspondence Analysis
  9.6  实例分析Examples Analysis
  思考练习Exercises
  延伸阅读Further Readings
第10章  多维尺度分析Multi-Dimensional Scaling
  10.1  多维尺度分析概述Overview of Multidimensional Scaling
  10.2  多维尺度分析原理The Principle of Multidimensional Scaling
  10.3  多维尺度分析步骤Steps in Multidimensional Scaling
  10.4  实例分析Examples Analysis
  思考练习Exercis